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Note You can view a few sample images at . The following image-editing techniques are used in this book: * **Blending** is the process of merging two or more layers together. * **Borders** are the lines surrounding your image. Each page has individual borders on top and bottom, and there are some single-border pages in this book. * **Distorts** are the ways that you can alter an image’s shape and perspective. There are some very cool features available here. * **Filters** are preapplied effects that change the way an image looks. * **Gradients** are areas of smooth shading. You can’t apply gradients directly to an image, but you can use them to apply effects and tricks. * **Grayscale** converts a color image to grayscale. * **Paint buckets** allow you to choose colors and paint an area with them. You can then duplicate the colors in that area and edit them. * **Picking** is the process of selecting one or more spots in
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The tragic events of this past week, the attacks on innocents in Paris and Beirut, have painfully reminded the world of the evil that is being perpetrated daily by terrorists and those who support and harbor them. But the nightmare doesn’t end there. Our sacred homeland – Israel – is being vilified, threatened, and dehumanized every day. Yet, paradoxically, one of the clearest indicators of our strong, healthy democracy is the fierce, inescapable, and uncompromising support that we give it. One could barely be in Israel for even a day, and the word “Israel” would be on the lips of everyone you met. People love and admire the Jewish State for its ability to address all the challenges it confronts – from stability in the Middle East to globalization, from corruption to the economic crises. Israel is the “canary in the coal mine” that shows us when the oxygen is being turned off. If not for Israel, the world would have no nation built on a worldview forged by the values of the Enlightenment and the principles of liberalism – one that strongly believes in freedom, democracy, and the unity of people. When considering the brutality that is the Arab-Islamic-Palestinian challenge to Israel and to Jews worldwide, one has to recall that the aspirations that motivated the founders of Zionism were deeply rooted in the self-sacrificial idealism of those who came to the Land of Israel from the Diaspora, whose legendary tradition of support for the Jewish people was demonstrated by the refusal of their own fathers to submit to the so-called order of things in Constantinople, Antioch, Alexandria, Rome, and Athens. The first volumes of the Hebrew encyclopedia “Sefer ha-Hayyim”, also known as the “Book of the Generation,” were written in the Ukraine in the seventh century by the Polish and Lithuanian Jewish sage Hai Gaon. Gaon was a descendant of the great liturgical poet, prophet, and leader, Moses Maimonides (Maimon), and of the founder of the Yemenite Jewish community, Yohanan ben Zakai. Gaon lived when the Torah had been forgotten in Palestine for two centuries. He had the immense privilege of reviving a magnificent tradition, of teaching Torah, of propagating Judaism, of implementing the Maimonidean concept of returning the Diaspora to its roots. This was Zionism, and it was created by people who love the Jewish State
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Q: R data.table – group by 2nd level column but filter by first Let’s say I have a data.table like the following: dt = data.table( var1 = c(“A”, “A”, “A”, “B”, “C”, “C”, “C”), var2 = c(“foo”, “bar”, “foo”, “baz”, “bat”, “foo”, “baz”), val = c(1,2,3,4,5,6,7) ) +—-+—+—-+ | var1| var2| val| +—-+—+—-+ | A| foo| 1| | A| bar| 2| | A| foo| 3| | B| baz| 4| | C| bat| 5| | C| foo| 6| | C| baz| 7| +—-+—+—-+ I want to group by var2 but only include rows that have var1 == A. Ideally, this should be a single data.table, but if not, that’s OK. The desired output is: +—-+—+—-+ | var1| var2| val| +—-+—+—-+ | A| foo| 3| | A| baz| 6| +—-+—+—-+ I’ve tried this: dt[,.(var1, var2), by = c(“var2”)][var1 == “A”] But that doesn’t work. I get this: +—-+—+—-+ | var1| var2| val| +—-+—+—-+ | A| foo| 3| | A| bat| 5| +—-+—+—-+ This is almost what I want, except I get a mix of the two rows. dt[,.(var1, var2), by = c(“var2”, “var1”)][var1 == “A”] How can I do this?
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